• Title/Summary/Keyword: rank correlation

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Joint Estimation Methods of Carrier Offset and Low-rank LMMSE Channel Estimation for MB-OFDM System (MB-OFDM 시스템을 위한 Low-rank LMMSE 채널 추정 및 주파수 옵셋 추정 결합 기법)

  • Shin, Sun-Kyung;Nam, Sang-Kyun;Sung, Tae-Kyung;Kwak, Kyung-Sup
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.12A
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    • pp.1296-1302
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    • 2007
  • In this paper, we propose joint estimation methods of carrier offset and channel estimation for MB-OFDM system with low complexity. The proposed methods estimate the channel by using low-rank LMMSE channel estimation which reduces the system complexity by applying the optimal number of rank to evaluate the frequency offset and additionally using the simple algorithm using the auto-correlation property of the estimated channel. We simulate the proposed algorithms under the IEEE 802.15 TG3a UWB channel model.

Relationships between Teaching Professional Rank, Course Taking, Teaching Experience and Knowledge of Algebra for Teaching

  • Huang, Rongjin;Li, Yeping;Kulm, Gerald;Willson, Victor
    • Research in Mathematical Education
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    • v.18 no.2
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    • pp.129-148
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    • 2014
  • In this study, we examined the relationships among years of teaching experience, professional rank, number of courses taken, and knowledge of algebra for teaching (KAT). 338 in-service and 376 pre-service secondary mathematics teachers in China completed a KAT questionnaire. Various statistical techniques were employed to examine these relationships. The pre-service participants teachers performed statistically significantly higher in advanced mathematics knowledge than their in-service counterparts. Among the inservice teachers, senior teachers had scored higher in school mathematics and teaching mathematics, compared with junior teachers. Yet participants' advanced mathematics knowledge decreased as their professional rank advanced or their teaching experience increased. The number of courses taken has significantly positive correlation with school mathematics knowledge and advanced mathematics knowledge. The implications of these findings for mathematics teacher education are discussed.

Long and Short Wave Radiation and Correlation Analysis Between Downtown and Suburban Area(II) - Study on Correlation Analysis Method of Radiation Data - (도심부와 교외지역의 장·단파 복사와 상관도 분석 (II) - 관측 자료의 상관도 분석기법에 관한 연구 -)

  • Choi, Dong-Ho;Lee, Bu-Yong;Oh, Ho-Yeop
    • Journal of the Korean Solar Energy Society
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    • v.33 no.4
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    • pp.101-110
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    • 2013
  • The propose of this study is to understand the phenomenon of radiation and comparison of analysis of two methods. One is analysis method of same-time data and the another is analysis method of rank data. We confirmed that two methods of correlation analysis had the effectiveness and suitability. The followings are main results from this study. 1) The seasonal correlation coefficient of long and short-wave radiation is higher in winter than in summer because of high humidity in the summer season can makes easily cloud in the sky locally. 2) According to analysis method, there is big difference in correlation coefficient from 0.494(Analysis method of same-time data) to 0.967(Analysis method of rank data) with short-wave radiation by the location during summer. These results have significant value in solar radiation research and analysis. It has explored a new way for solar radiation research of analysis method as well.

Analysis on Correlation between Prescriptions and Test Results of Diabetes Patients using Graph Models and Node Centrality (그래프 모델과 중심성 분석을 이용한 당뇨환자의 처방 및 검사결과의 상관관계 분석)

  • Yoo, Kang Min;Park, Sungchan;Rhee, Su-jin;Yu, Kyung-Sang;Lee, Sang-goo
    • KIISE Transactions on Computing Practices
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    • v.21 no.7
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    • pp.482-487
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    • 2015
  • This paper presents the results and the process of extracting correlations between events of prescriptions and examinations using graph-modeling and node centrality measures on a medical dataset of 11,938 patients with diabetes mellitus. As the data is stored in relational form, RDB2Graph framework was used to construct effective graph models from the data. Personalized PageRank was applied to analyze correlation between prescriptions and examinations of the patients. Two graph models were constructed: one that models medical events by each patient and another that considers the time gap between medical events. The results of the correlation analysis confirm current medical knowledge. The paper demonstrates some of the note-worthy findings to show the effectiveness of the method used in the current analysis.

The Residential Segregation in Metropolitan Cities and Correlation with Large Apartment Complexes in Korea (국내 대도시의 주거지 분리 추이와 대규모 아파트단지와의 상관분석)

  • Park, Young Min;Kim, Jong Gu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.40 no.6
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    • pp.633-641
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    • 2020
  • Residential complexes offer a sense of community and convenience, but making closed and privated space have been criticized.Closed urban spaces have issues encouraging residential segregation.large apartment complexes over 1,000 households,the most poular housing type in Korea, seems to make urban space more closed and privated than ever before. Our study puts forward and tests the hypothesis that large apartment complexes with over 1,000 households are linked to residential segregation. First of all, we examined the degree of residential segregation of metropolitan cities in Korea over a nine-year period (2011-2019). The dissimilarity index and the delta index were used for determining the extent of residential segregation. Next, we tested our hypothesis by Spearman's rank correlation analysis. Spearman's rank correlation analysis was performed on the residential segregation index per administrative division ("dong") and the number of large apartment complexes per administrative division ("dong").

Secure Multi-Party Computation of Correlation Coefficients (상관계수의 안전한 다자간 계산)

  • Hong, Sun-Kyong;Kim, Sang-Pil;Lim, Hyo-Sang;Moon, Yang-Sae
    • Journal of KIISE
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    • v.41 no.10
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    • pp.799-809
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    • 2014
  • In this paper, we address the problem of computing Pearson correlation coefficients and Spearman's rank correlation coefficients in a secure manner while data providers preserve privacy of their own data in distributed environment. For a data mining or data analysis in the distributed environment, data providers(data owners) need to share their original data with each other. However, the original data may often contain very sensitive information, and thus, data providers do not prefer to disclose their original data for preserving privacy. In this paper, we formally define the secure correlation computation, SCC in short, as the problem of computing correlation coefficients in the distributed computing environment while preserving the data privacy (i.e., not disclosing the sensitive data) of multiple data providers. We then present SCC solutions for Pearson and Spearman's correlation coefficients using secure scalar product. We show the correctness and secure property of the proposed solutions by presenting theorems and proving them formally. We also empirically show that the proposed solutions can be used for practical applications in the performance aspect.

The Study of Emission Characteristics of Biodiesel Fuel in Diesel Engines

  • Yeom, Jeong-Kuk
    • Journal of Power System Engineering
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    • v.19 no.1
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    • pp.56-63
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    • 2015
  • In this study, the exhaust characteristics of the diesel engine for the change of the mixing ratio of biodiesel fuel were quantitatively analyzed by using the numerical analysis method. As the fuel used in the experiment, the diesel and biodiesel(waste oil, soybean oil), the mixed fuel BD2(Diesel only), BD3, BD5, BD20, BD50 and BD100 were used. The injection pressure($p_{inj}$) was set to 400bar, 600bar, 800bar, 1000bar and 1200bar as the experimental variable. Also the concept of the standard deviation, Pearson's correlation coefficient and Spearman rank-order correlation coefficient based on the statistics was introduced in order to analyze the exhaust characteristics of the quantitative NOx and Soot according to the injection pressure and the mixing ratio variation of biodiesel blending fuel. It is considered that as a result of studies, for the waste oil, NOx and Soot can be simultaneously reduced through control of the mixing ratio at the regions of $p_{inj}=400bar$ and $p_{inj}=600bar$, and the Soot can be reduced without affecting on the emission of NOx at more than $p_{inj}=800bar$. For the soybean oil, NOx and Soot can be simultaneously reduced at $p_{inj}=400bar$ and the Soot can be reduced without affecting on the emission of NOx at $p_{inj}=600bar$.

Inter-Rater Reliability of the Modified Ashworth Scale of Spasticity (경련성 (spasticity) 평가를 위한 Modified Ashworth Scale의 측정자간 신뢰도)

  • Yi, Chung-Hwi;Current, Marion E.
    • Physical Therapy Korea
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    • v.1 no.1
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    • pp.1-9
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    • 1994
  • This study was performed to determine the inter-rater reliability of manual tests of elbow, knee flexor, and ankle dorsiflexor muscle spasticity graded on the Modified Ashworth Scale. Two raters each independently graded the spasticity of 32 patients with intracranial lesions after moving the paretic limb passively through the available range of motion. The patients were asked to simultaneously squeeze therapeutic putty with their non-paretic hand for reinforcement. The ratings were compared by the Wilcoxon matched pairs signed-rank test and by the Kendall's coefficient of rank(tau) correlation. There was singificant correlation between two raters for spasticity at the elbow, knee flexor, and ankle dorsiflexor. The correlations of the two raters ranged from .6746 to .9308. The highest correlation was for the elbow with reinforcement and the lowest was for the knee without reinforcement. Poorer correlation was evident in the knee joint. The positive results of this study encourage the continued use of manual tests of muscle spasticity, using the Modified Ashworth Scale.

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Journal PageRank Calculation in the Korean Science Citation Database (국내 인용 데이터베이스에서 저널 페이지랭크 측정 방안)

  • Lee, Jae-Yun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.4
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    • pp.361-379
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    • 2011
  • This paper aims to propose the most appropriate method for calculating the journal PageRank in a domestic citation database. Korean journals show relatively high journal self-citation ratios and have many outgoing citations to external journals which are not included in the domestic citation database. Because the PageRank algorithm requires recursive calculation to converge, those two characteristics of domestic citation databases must be accounted for in order to measure the citation impact of Korean journals. Therefore, two PageRank calculation methods and four formulas for self-citation adjustment have been examined and tested for KSCD journals. The results of the correlation analysis and regression analysis show that the SCImago Journal Rank formula with the cr2 type self-citation adjustment method seems to be a more appropriate way to measure the relative impact of domestic journals in the Korean Science Citation Database.

A Study on Document Citation Indicators Based on Citation Network Analysis (인용 네트워크 분석에 근거한 문헌 인용 지수 연구)

  • Lee, Jae-Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.2
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    • pp.119-143
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    • 2011
  • This study identifies the characteristics of recent citation-based indicators for assessing a single paper in the context of their co-relationships. Five predefined indicators were examined with three variants of h-index which are convened in this study; the formers are PageRank, SCEAS Rank, CCI, f-value, and single paper h-index and the latters are $h_S$-index, h1-index, and $h_S$1-index. The correlation analysis and cluster analysis were performed to group the indicators by common characteristics, after which the indicators were calculated with the dataset from KSCI DB. The results show statistical evidence that distinguishes h-index type indicators from others. The characteristics of the indicators were verified with citation frequency factors using correlation analysis. Finally, the implications for applications and further studies are discussed.